OJC Slides 1 09

Embed Size (px)

Citation preview

  • 7/27/2019 OJC Slides 1 09

    1/30

    Osler Journal Club: The Cohort Study

    Gu et al. NEJM 2009; 360 (2): 150-9

    ,Esteemed Moderator: J. Hunter Young, MD MHS

    Discussants: Janice Leung, MD Chris Kanakry, MS3

    Peter Leary, MD Michael Grunwald, MD

  • 7/27/2019 OJC Slides 1 09

    2/30

    e o or u y

  • 7/27/2019 OJC Slides 1 09

    3/30

    the basis of exposure

    development of outcome

  • 7/27/2019 OJC Slides 1 09

    4/30

    Generic Pros and Cons of the

    ohort tudy

    Time based study allowsspeculation of causality (Note

    Expensive Time consuming and vast

    control)

    Observational nature allows

    Not randomized/clean

    (i.e. toxic exposures often

    group together and health care

    Can study multiple outcomes

    of a specific exposure

    Not good for rare diseases or

    outcomes with a long natural

    Can Study rare exposures Attrition

  • 7/27/2019 OJC Slides 1 09

    5/30

    Why China why smoking why

    this article?While smoking is on the decline in the

    western world, the smoking epidemic isin the early stages in developing countries.

    tobacco has been described as the #1

    public health issue/crisis in China, but the

    screening and populations is still not fullyknown.

    about smoking as a whole, the authorssought to apply a much needed filter of

    .

  • 7/27/2019 OJC Slides 1 09

    6/30

  • 7/27/2019 OJC Slides 1 09

    7/30

    carried out in all 30 provinces Multi-stage design of random cluster sampling

    designed to get a nationally representative sample of

    the Chinese general population > 15 yo .

    1999-2000 follow-up study

    study subjects

    2 provinces did not have smoking data

  • 7/27/2019 OJC Slides 1 09

    8/30

    15 remaining provinces were evenly distributed in

    eren geograp c reg ons an represen e var ouslevels of economic development in China

    15 included provinces were similar to 15 excludedprov nces: Age: 55.9 yo vs. 55.3 yo

    High school education: 24.0% vs. 23.4% . . .

    Physical inactivity: 37.0% vs. 36.6%

    Cigarette smoking history: 37.9% vs. 36.7%

    , 76,134 men, 78,997 women 144,088 (92.9%) successful follow-up and inclusion in study

  • 7/27/2019 OJC Slides 1 09

    9/30

    Single clinic visit by physician or nurse

    Standardized methods with stringent quality control

    Standard questionaire to gather data on demographic

    characteristics, medical history, and lifestyle risk

    Tobacco smoking definition: 1 cig/day x 1 year

    Height, weight, BMI, three BP measurements, work

    related physical activity all assessed

  • 7/27/2019 OJC Slides 1 09

    10/30

    - 1999-2000 follow-up

    Tracked subjects or next-of-kin to current address

    In-depth interviews to ascertain disease status and informationregarding health/death

    ,

    For deaths: information obtained from others:

    Family (75%), PCP (12.6%), Other health care providers (3.8%),Employers, relatives, or friends (8.5%)

    If patient died in hospital, MR obtained including: Medical history, PE, labs, autopsy findings, final diagnosis

    Photocopies made of selected sections of medical records

    ,from family or health care provider

    98.6% of deaths were verified by death certificate and/or medicalrecords

  • 7/27/2019 OJC Slides 1 09

    11/30

    - -

    Reviewed medical history information anddeath certificates to determine final underlyingcause of death with prespecified criteria

    Two committee members indepedently verified

    Discrepancies adjudicated by discussion involvingadditional committee members

    Committee members blinded to subjects smokinghistory and other baseline characteristics

    Causes of death coded accordin to ICD-9

  • 7/27/2019 OJC Slides 1 09

    12/30

    ethics committee at Cardiovascular

    Written informed consent obtained from all-

  • 7/27/2019 OJC Slides 1 09

    13/30

    Age-standardized mortality was calculated- -

    mortality and age distribution of the

    Chinese population using 2000 censusdata

    Relative risks calculated for subjects who

    had ever smoked compared with lifelongnonsmokers as reference

  • 7/27/2019 OJC Slides 1 09

    14/30

    - -

    for a variety of covariables: Baseline age, level of education, alcohol

    consumption, level of physical activity, presence of

    hypertension, being overweight, self-reported

    , ,

    urbanization

    Dose-response relationship of smoking

    measured by stratifying smokers into 3 groups: 30.3 PYH

  • 7/27/2019 OJC Slides 1 09

    15/30

    Multivariable-adjusted relative risks of death associated

    with smoking were obtained stratified by level ofurbanization (urban vs. rural), sex, and age (40-54, 55-64, 65 These estimates used to calculate the population attributable risk

    (PAR) and 95% CIs for each subgroup using the following

    standard equation (P = proportion of smokers, RR = relativer s :

    PAR = (P x [RR-1] (P x [RR 1] + 1)

    Overall relative risks or population attributable risks of death

    the Chinese population in 2005

    All p-values were two-sided and not adjusted for multiple

  • 7/27/2019 OJC Slides 1 09

    16/30

    Results

  • 7/27/2019 OJC Slides 1 09

    17/30

    Baseline Characteristics

  • 7/27/2019 OJC Slides 1 09

    18/30

    Dose-Related Response

  • 7/27/2019 OJC Slides 1 09

    19/30

    Population Attributable Risk

  • 7/27/2019 OJC Slides 1 09

    20/30

    Disease-Specific Risk

  • 7/27/2019 OJC Slides 1 09

    21/30

  • 7/27/2019 OJC Slides 1 09

    22/30

    Conclusions

    e resu s o s s u y nvo v ng anationally representative sample of

    smoking is a major preventable cause.

    There was a significant, dose-

    -years smoked and death.

  • 7/27/2019 OJC Slides 1 09

    23/30

    Conclusions

    e num er o ea s a r u a e osmoking was much greater among

    .

    Lung cancer was the leading cause of.

    COPD was the leading cause of death

    r u w .

  • 7/27/2019 OJC Slides 1 09

    24/30

    Discussion

    esu s are rou esome ecause e

    prevalence of tobacco smoking has

    in China.

    in China has been dropping during

    .

    Chin Med J (Engl) 1987; 100:886-92.

    Zhonghua Liu Xing Bing Xue Za Zhi 2005; 26:77-83

  • 7/27/2019 OJC Slides 1 09

    25/30

    Discussion

    n e s u es n es ern

    populations, this study shows that the

    were similar among former and.

    Smoking cessation has been relatively

    . Most smokers quit because of chronic

    .

    JAMA 2008; 299:2037-47

  • 7/27/2019 OJC Slides 1 09

    26/30

    Discussion

    risk associated with smoking than did

    The magnitude of the relative risks

    robabl reflects the lower numbersof cigarettes smoked in the past andthe later age of smoking initiation in

    u urr y y rsmoking-related diseases.

    Tobacco control policy analysis in China: economics and health.

    Singapore: World Scientific Publishing 2008: 13-31.

  • 7/27/2019 OJC Slides 1 09

    27/30

    Study Limitations

    by questionnaire, there may have

    smoking exposure.

    Hos ital records were available for71% of subjects who died.Therefore, the classification of cause

    y ur rsubjects without hospital records.

  • 7/27/2019 OJC Slides 1 09

    28/30

    Study Limitations

    e mor a y o ow-up was

    conducted during the 1990s, which

    and disease burden at that time.

    - ,cancer and cardiovascular disease,

    death in China. Therefore, the studyma underestimate current deathsattributable to smoking.

  • 7/27/2019 OJC Slides 1 09

    29/30

    Study Limitations

    esp e e a us men or severa

    potentially confounding factors in the,

    nonsmokers may still differ with

    contribute to disease risk.

  • 7/27/2019 OJC Slides 1 09

    30/30

    Study Limitations

    e au ors es ma e e num er o

    deaths attributable to smoking, not

    prevented by smoking cessation.

    exposure to smoking.